Toward accountable land use mapping: Using geocomputation to improve classification accuracy and reveal uncertainty

International Journal of Applied Earth Observation and Geoinformation

Volumn 12, Issue 3, 2010, Pages 127-137

  Beekhuizen, Johan ^a   Clarke, Keith C ^b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Classification; Geocomputation; Land cover; Land use; Texture; Uncertainty

Indexed keywords

ACCURACY ASSESSMENT; ASTER; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; LAND USE; LANDSAT; MAPPING; SATELLITE IMAGERY; TEXTURE; UNCERTAINTY ANALYSIS;

FRIULI-VENEZIA GIULIA; GORIZIA; ITALY;

EID: 77950371348     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2010.01.005     Document Type: Article

References (44)

1. Anderson, J.R., Hardy, E.E., Roach, J.T., Witmer, R.E., 1976. A land use and land cover classification system for use with remote sensor data. Washington DC: U.S. Geological Survey, Professional Paper 964.
2. Aplin P., Atkinson P.M., and Curran P.J. Fine spatial resolution simulated satellite sensor imagery for land cover mapping in the United Kingdom. Remote Sensing of Environment 68 (1999) 206-216
3. Benz U.C., Hofmann P., Willhauck G., Lingenfelder I., and Heynen M. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing 58 (2004) 239-258
4. Berberoglu S., Curran P.J., Lloyd C.D., and Atkinson P.M. Texture classification of Mediterranean land cover. International Journal of Applied Earth Observation and Geoinformation 9 (2007) 322-334
5. Bossard, M., Feranec, J., Otahel, J., 2000. CORINE land cover technical guide-Addendum 2000. In Technical Report no. 40: European Environment Agency.
6. Bowman K.P. An Introduction to Programming with IDL: Interactive Data Language (2006), Elsevier, Burlington
7. CEC, 1994. CORINE land cover. Technical guide. Luxembourg: Office for Official Publications of European Communities.
8. Clausi D. An analysis of co-occurrence texture statistics as a function of grey level quantization. Canadian Journal of Remote Sensing 28 (2002) 45-62
9. Comber A., Fisher P., and Wadsworth R. What is land cover?. Environment and Planning B: Planning and Design 32 (2005) 199-209
10. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1991) 35-46
11. Congalton R.G., and Green K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (1999), Lewis Publishers, Boca Raton
12. Ferro C.J.S., and Warner T.A. Scale and texture in digital image classification. Photogrammetric Engineering and Remote Sensing 68 (2002) 51-63
13. Foody G.M. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80 (2002) 185-201
14. Franklin S.E., Hall R.J., Moskal L.M., Maudie A.J., and Lavigne M.B. Incorporating texture into classification of forest species composition from airborne multispectral images. International Journal of Remote Sensing 21 (2000) 61-79
15. Franklin S.E., Wulder M.A., and Gerylo G.R. Texture analysis of IKONOS panchromatic data for Douglas-fir class separability in British Columbia. International Journal of Remote Sensing 22 (2001) 2627-2632
16. Gong P., Marceau D.J., and Howarth P.J. A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data. Remote Sensing of Environment 40 (1992) 137-151
17. Gopal S., and Woodcock C. Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogrammetric Engineering and Remote Sensing 60 (1994) 181-188
18. Gurney C.M., and Townshend J.R.G. The use of contextual information in the classification of remotely sensed data. Photogrammetric Engineering and Remote Sensing 49 (1983) 55-64
19. Hall-Beyer, M., 2007. The GLCM Tutorial Home Page. Access date: 12-11-09. http://www.fp.ucalgary.ca/mhallbey/texture_calculations.htm.
20. Haralick R.M., Shanmugam K., and Dinstein I.H. Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics 3 (1973) 610-621
21. Helmer E.H., Brown S., and Cohen W.B. Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery. International Journal of Remote Sensing 21 (2000) 2163-2183
22. Hengl T., Walvoort D.J.J., Brown A., and Rossiter D.G. A double continuous approach to visualization and analysis of categorical maps. International Journal of Geographical Information Science 18 (2004) 183-202
23. Heuvelink G.B.M. Error Propagation in Environmental Modelling with GIS (1998), Taylor and Francis, London
24. Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, third ed., Prentice Hall, New Jersey, Prentice-Hall series in Geographic Information Science.
25. Journel A.G. Modelling uncertainty and spatial dependence: stochastic imaging. International Journal of Geographical Information Systems 10 (1996) 517-522
26. Karathanassi V., Iossifidis C., and Rokos D. A texture-based classification method for classifying built areas according to their density. International Journal of Remote Sensing 21 (2000) 1807-1823
27. Kirkpatrick S., Gelatt C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 (1983) 671-680
28. Lu D., and Weng Q. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28 (2007) 823-870
29. Lu D., and Weng Q. Urban classification using full spectral information of Landsat ETM+ imagery in Marion County, Indiana. Photogrammetric Engineering and Remote Sensing 71 (2005) 1275-1284
30. MacEachren A.M. Visualizing uncertain information. Cartographic Perspective 13 (1992) 10-19
31. MacEachren A.M., Robinson A., Hopper S., Gardner S., Murray R., Gahegan M., and Hetzler E. Visualizing geospatial information uncertainty: what we know and what we need to know. Cartography and Geographic Information Science 32 (2005) 139-160
32. Marceau D.J., Howarth P.J., Dubois J.M., and Gratton D.J. Evaluation of the grey-level co-occurrence matrix method for land-cover classification using spot imagery. IEEE Transactions on Geoscience and Remote Sensing 28 (1990) 513-519
33. Pesaresi M. Texture analysis for urban pattern recognition using fine-resolution panchromatic satellite imagery. Geographical and Environmental Modelling 4 (2000) 43-63
34. Puissant A., Hirsch J., and Weber C. The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery. International Journal of Remote Sensing 26 (2005) 733-745
35. Shaban M.A., and Dikshit O. Improvement of classification in urban areas by the use of textural features: the case study of Lucknow city. Uttar Pradesh. International Journal of Remote Sensing 22 (2001) 565-593
36. Stehman S.V. Basic probability sampling designs for thematic map accuracy assessment. International Journal of Remote Sensing 20 (1999) 2423-2441
37. Stehman S.V., and Czaplewski R.L. Design and analysis for thematic map accuracy assessment: fundamental principles. Remote Sensing of Environment 64 (1998) 331-344
38. Van der Wel F.J.M., Van der Gaag L.C., and Gorte B.G.H. Visual exploration of uncertainty in remote-sensing classification. Computers & Geosciences 24 (1998) 335-343
39. Wästfelt A. Land use qualities identified in remotely-sensed images. International Journal of Remote Sensing 30 (2009) 2411-2427
40. Website for the scripts and full results of this study (including readme file), Website for the scripts and full results of this study (including readme file), size 41 MB: http://www.geog.ucsb.edu/∼kclarke/Public/Website.zip
41. Wikantika K. An evaluation of the use of integrated spectral and textural features to identify agricultural land cover types in Pangalengan, West Java, Indonesia. JARQ 38 (2004) 137-148
42. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338-353
43. Zhang Q., Wang J., Gong P., and Shi P. Study of urban spatial patterns from SPOT panchromatic imagery using textural analysis. International Journal of Remote Sensing 24 (2003) 4137-4160
44. Zhang Y. Optimisation of building detection in satellite images by combining multispectral classification and texture filtering. ISPRS Journal of Photogrammetry and Remote Sensing 54 (1999) 50-60